And here’s the coolest thing about Workspaces: you can launch one for any project or dataset, whether it was created by you or another community member. Get involved in an existing project by posting in the discussion, or create your own from the “Add to project” button on any dataset.
The Data Project-Workspace-Insight trifecta is a leap forward for collaborating on data.world.
And it didn’t come easy. There were six months of research, user interviews, whiteboard sessions and hand-drawn sketches before we committed to going down this path for our data catalog.
Datasets are great for working on the data and sharing finished artifacts. But, they aren’t (and shouldn’t) be the best place to work with your data, or more importantly, someone else’s, for example Census data or a shared dataset uploaded by a colleague.
We like to think of Workspaces as your data playground: the place to explore your full data inventory without fear of messing anything up.
While investigating a new data source, you want to be able to preview the tables, understand the columns and their characteristics, write queries, build exploratory visualizations, document as you go, and share Insights with your stakeholders. There’s a lot to do, and it’s not always a linear process.
We realized that a lot of this usa whatsapp number data functionality already existed on data.world, but as separate tools without any connective tissue between them.
Workspaces connect your files, documentation, queries, and visualizations so it’s easy to switch between them:
And that’s how the file explorer, data dictionary, charting tool, and query builder all came together to form the Workspace, a tool much larger than the sum of its parts.
We’d love to hear from you as you explore Data Projects and Workspaces.
Join our new data.world community Slack group to share feedback or submit support requests directly through the app.